Sr Specialist, AI Platform Engineer

AGCO Corporation; Brasil; Presencial; BRL 400 000 - 640 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and dental assistance

Life insurance

PROPAR

Resumo da oferta

AGCO Corporation is seeking a senior software/platform engineer to lead the design and development of scalable, secure platform services enabling enterprise AI and ML capabilities. You will work at the intersection of cloud infrastructure, DevOps, and AI engineering, accelerating the deployment of AI across the enterprise.

You will partner with data scientists, security, and architecture teams to deliver reusable templates, CI/CD, IaC, and observability for production AI systems in a hybrid

Qualificações

• 8+ years in software/platform/infrastructure engineering.
• 3+ years supporting data or AI-intensive systems.
• Experience on GCP or AWS (GCP preferred).
• Strong container, Kubernetes, and IaC experience.
• Secure, observable, resilient distributed systems knowledge.
• Hands-on with data/ML workflows (Spark, Airflow, Kubeflow, Vertex AI).
• CI/CD, monitoring and operational best practices.

Responsabilidades

• Lead design and development of reusable, secure platform services for AI innovation.
• Enable containerized training, distributed computing, and model deployment.
• Ensure reliable AI workflows across cloud, on-prem, and hybrid environments.
• Collaborate with AI, data, security, and architecture teams to roadmap capabilities.
• Create templates, pipelines, environments, and documentation for AI delivery.

Conhecimentos

Experience ≥8 yrs

GCP/AWS design & ops

Containers & Kubernetes

IaC (Terraform)

Secure, observable distributed systems

Data/ML workflows (Spark, Airflow, Kub

Ferramentas

Terraform

Kubernetes

Git workflows

Descrição da oferta de emprego

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world. Join our extraordinary team today!

The professional is responsible to lead the design and development of reusable, secure, and scalable platform services that enable AI innovation across the enterprise. You'll apply your systems thinking and deep software engineering expertise to accelerate the development and deployment of machine learning and AI capabilities at scale, from smart farming systems to enterprise automation.

You'll be part of a high-impact team creating an internal developer platform purpose-built for computer vision, GenAI, machine learning workloads. Your work will empower data scientists and and engineers to experiment faster, deploy more reliably, and deliver AI solutions that transform agriculture.

You will operate at the intersection of cloud infrastructure, DevOps, and AI engineering, helping turn AI from a collection of projects into a repeatable, enterprise-grade capability.

Your impact

• Enable containerized training, distributed computing, experiment tracking, artifact management, and model deployment.
• Support reliable, reproducible AI workflows across cloud, on-premises, and hybrid environments.
• Create reusable templates, pipelines, environments, and documentation that accelerate AI delivery.
• Implement and maintain CI/CD, Infrastructure as a Code (IaC), automation, and observability for production AI systems.
• Partner with AI, data, security, and architecture teams to deliver platform capabilities, drive operational excellence, and shape the AI platform roadmap.

Your Experience & Qualifications

Must-Have

• 8+ years of experience in software, platform, or infrastructure engineering, including 3+ years supporting data or AI-intensive systems.
• Strong experience designing and operating systems on GCP or AWS (GCP preferred).
• deep understanding of containers, Kubernetes, and IaC (Terraform or similar).
• Experience designing secure, observable, and resilient distributed systems.
• Hands-on experience with data and ML workflows (e.g. Spark, Airflow, Kubeflow, Vertex AI or similar).
• Strong grasp of CI/CD, Git-based workflows, monitoring,logging, and operational best practices.

Nice to have

• Experience building or operating an Internal Developer Platform (IDP) or platform-as-a-product.
• Familiarity with MLOps practices, including model lifecycle management, monitoring and retraining workflows.
• Experience with hybrid or edge-to-cloud architectures.
• Knowledge of IAM, policy-as-code, and enterprise security patterns.
• Open-source contributions or cross-organizational technical leadership.
• Medical and dental assistance;
• Life insurance;
• PROPAR;
• Others.

we value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.